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nyra-forced-aligner

Word and phoneme level speech timing for spontanoues speech. Fast, accurate and robust.

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GITHUB · launched Sep 21, 2026 · 32 upvotes (top 26%) · 0 views

Niche: speech processing software · 57 launches, 7 in the last 7 days ▼ -22% · Explore this niche →

Category and tags

  • Horizontal
  • Dev tools
  • Developer
  • AI-native
  • Hobby / open-source project
  • alignment
  • audio
  • crisperwhisper
  • forced
  • forced-aligner
  • forced-alignment
  • +8 more

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Could you build this?

No Building a precise forced aligner that performs phoneme- and word-level alignment on spontaneous, disfluent speech requires specialized speech research, acoustic modeling, and deep ML expertise.

What it would actually take: Requires an acoustic model trained with CTC/ASR objectives or specialized alignment losses (e.g., Kaldi, PyTorch with CTC loss/Wav2Vec2/Whisper fine-tuning) on heavily annotated phonetic audio corpora containing spontaneous speech phenomena. The pipeline involves acoustic feature extraction, dynamic time warping or Viterbi forced alignment against phonetic dictionaries, and custom C++/CUDA kernels for low-latency inference.

Competitors

Other products that read as similar to this one : 1177 launches clear the similarity bar, closest 8 shown.

Attention rank: #311 of 1178 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 326 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.